Our Platform

Fast Lane To Autonomous Safety

Cognata creates for you thousands of safety edge cases needed to be solved in order to launch an autonomous vehicle

Fast Lane to Any City

Cognata uses patented computer vision and deep learning algorithms to automatically generate a whole city-simulator including buildings, roads , lane marks, traffic signs and even trees and bushes.

Fast Lane to Market

Validating an autonomous vehicle to current human level requires driving 10B miles. Cognata enables shaving off years from the time and budget required to bring an autonomous vehicle to the market

 

How does it work

TrueLife 3D Mesh

Cognata uses patented computer vision and deep learning algorithms to automatically generate a whole city-simulator including buildings, roads , lane marks, traffic signs and even trees and bushes.

PhysicsStudio

Adding dynamic layer of realistic traffic model of other vehicles and pedestrians. Historic local weather conditions and lighting are added to stress test the system.

Simulation Engine

Combining the TrueLife and PhysicsStudio to simulate the sensor interaction with the external materials including sensors ,saturation and lost packets to receive the most comprehensive autonomous driving simulation feedback loop from each drive.

Deep Learning Simulation Engine

State-of-the-art  deep learning simulation engine leverages reality-grade city mesh combined with DNN (deep neural network) and AI capabilities.

Cognata’s virtual reality simulator and engine enable autonomous car manufacturers to run thousands of different scenarios based on various geographic locations and driver behaviors, and sharing the road with other users.

Each mile driven on our simulator is equal to hundreds of miles driven regularly as we constantly create use cases that train the AI driving system and reduce the time to reach maturity and go-to-market.

Autonomous Analytics

On our platform, each sensor is ground-truth-ed and therefor:

  • Generate, regenerate and focus on failure cases until solution is perfected
  • Complete regression test in one click
  • Time-line access to all raw sensors data

 

 

For more information please

Meet the team

Danny Atsmon

Founder & CEO

Guy Tsafrir

VP R&D

Shay Rootman

Director of Product Managament

Ofer Solomon

Chief Computer Vision Architect

Alon Atsmon

Board Member

Amiad Solomon

Board Member

Dovi Ollech

Emerge

Olaf Sakkers

Maniv Mobility

Michael Granoff

Maniv Mobility

Subscribe To Our Newsletter

The best way to stay in touch with us